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Cambridge Mathematics of Information in Healthcare Hub (CMIH)

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  • Currently displaying 21 - 40 of 1322 publications
On Krylov methods for large-scale CBCT reconstruction
M Sabaté Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schönlieb
– Physics in Medicine & Biology
(2023)
68,
155008
Inference in High-Dimensional Online Changepoint Detection
Y Chen, T Wang, RJ Samworth
– Journal of the American Statistical Association
(2023)
ahead-of-print,
1
Isotonic subgroup selection
MM Müller, HWJ Reeve, TI Cannings, RJ Samworth
(2023)
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning
T Wang, E Dobriban, M Gataric, RJ Samworth
(2023)
Efficient functional estimation and the super-oracle phenomenon
TB Berrett, RJ Samworth
– The Annals of Statistics
(2023)
51,
668
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
X Wang, S Price, C Li
(2023)
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
L Jiang, Y Mao, X Chen, X Wang, C Li
(2023)
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Y Mao, L Jiang, X Chen, C Li
(2023)
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero
(2023)
Continuous U-Net: Faster, Greater and Noiseless
C-W Cheng, C Runkel, L Liu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
Spectral decomposition of atomic structures in heterogeneous cryo-EM
C Esteve-Yagüe, W Diepeveen, O Öktem, CB Schönlieb
– Inverse Problems
(2023)
39,
034003
Learning Posterior Distributions in Underdetermined Inverse Problems
C Runkel, M Moeller, CB Schönlieb, C Etmann
(2023)
14009,
187
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, CB Schonlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
(2023)
40,
134
The effects of communicating scientific uncertainty on trust and decision making in a public health context
CR Schneider, ALJ Freeman, D Spiegelhalter, S van der Linden
– Judgment and Decision Making
(2023)
17,
849
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation
C Li, W Huang, X Chen, Y Wei, L Zhang, J Zhang, S Price, CB Schonlieb
– Proceedings - International Symposium on Biomedical Imaging
(2023)
2023-April,
1
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O Oktem, M Pereyra, CB Schonlieb
– IEEE Signal Processing Magazine
(2023)
40,
164
Discussion of Presidential Address: Statistics in Times of Increasing Uncertainty by Sylvia Richardson
D Spiegelhalter
– Journal of the Royal Statistical Society Series A (Statistics in Society)
(2022)
185,
1499
High-dimensional principal component analysis with heterogeneous missingness.
Z Zhu, T Wang, RJ Samworth
– Journal of the Royal Statistical Society. Series B, Statistical methodology
(2022)
84,
2000
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Chen, L Liu, S Wang, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)